Abstract
This article describes the context, design, and recent development of the LAPACK for Clusters (LFC) project. It has been developed in the framework of Self-Adapting Numerical Software (SANS) since we believe such an approach can deliver the convenience and ease of use of existing sequential environments bundled with the power and versatility of highly-tuned parallel codes that execute on clusters. Accomplishing this task is far from trivial as we argue in the paper by presenting pertinent case studies and possible usage scenarios.
| Original language | English |
|---|---|
| Title of host publication | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
| Editors | Peter M.A. Sloot, David Abramson, Alexander V. Bogdanov, Yuriy E. Gorbachev, Jack J. Dongarra, Albert Y. Zomaya |
| Publisher | Springer Verlag |
| Pages | 665-672 |
| Number of pages | 8 |
| ISBN (Print) | 9783540401964 |
| DOIs | |
| State | Published - 2003 |
| Externally published | Yes |
Publication series
| Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
|---|---|
| Volume | 2659 |
| ISSN (Print) | 0302-9743 |
| ISSN (Electronic) | 1611-3349 |
Funding
We wish to thank the Ohio Supercomputing Center (OSC), the Computational Science and Mathematics Division at Oak Ridge National Laboratory (XTORC cluster), the Center for Computational Sciences at Oak Ridge National Laboratory (Cheetah, Eagle), the Dolphin donation cluster (part of the SinRG program at the University of Tennessee Knoxville), the San Diego Supercomputing Center (SDSC), and the National Energy Research Scientific Computing Center (NERSC) for research conducted on their resources. We also wish to thank NPACI, the National Partnership for the Advancement of Computational Infrastrucure, for including LFC in its NPACkage.